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to cloud infrastructure in Docker containers. Our technology stack is published in our Guidebook and comprises technologies like Google Cloud, Terraform, Docker, Python, Django, React, and TypeScript. We
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, Easybuild) Competence in a high-level programming language (e.g. Python, Golang) and demonstrable experience in at least one relevant technology (e.g. HPC, Cloud computing, storage hardware configuration
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management experience and strong technical capability in Python, SQL, electronic data capture systems, and API integration to drive efficient, high-quality trial delivery. What you would be doing: You will
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measurement capabilities. Design, implement, and maintain automated experimental systems using MATLAB, Python, LabVIEW or similar software environments. Develop software for instrument control, data acquisition
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accretion modelling codes (in C++, with a Python interface) that are being integrated into the open-source Gammapy framework for use across the CTAO community and beyond; and increasingly building on other
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knowledge of MATLAB/Python and signals processing Understanding of electromagnetics Genuine interest in battery technologies Experience with CAD and mechanical design How to apply: Interested candidates
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focuses on the full lifecycle of AI application development: writing production-quality code in Python and Go, building and optimising AI agents, developing rigorous evaluation and testing frameworks
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scripting (e.g. bash, awk), configuration management (e.g. Puppet, Ansible), scientific packaging frameworks (e.g. Spack, Easybuild) Competence in a high-level programming language (e.g. Python, Golang) and
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, the University of Lausanne, and collaborating institutions and partners worldwide. The core duties of the role include: leading the development, release, and maintenance of the project’s open-source Python
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science/bioinformatics component, or have a relevant degree and demonstrable experience of large-scale IT enterprise solutions. You will be able to demonstrate a working knowledge of R/Python related to data processing